{"id":"https://openalex.org/W2534165028","doi":"https://doi.org/10.1109/fskd.2016.7603432","title":"A novel improved ViBe algorithm to accelerate the ghost suppression","display_name":"A novel improved ViBe algorithm to accelerate the ghost suppression","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2534165028","doi":"https://doi.org/10.1109/fskd.2016.7603432","mag":"2534165028"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101638925","display_name":"Keyang Cheng","orcid":"https://orcid.org/0000-0001-5240-1605"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyang Cheng","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040786872","display_name":"Kaifa Hui","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaifa Hui","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046419939","display_name":"Yongzhao Zhan","orcid":"https://orcid.org/0000-0001-7475-2895"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhao Zhan","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053029381","display_name":"Man Qi","orcid":"https://orcid.org/0000-0002-6058-8294"},"institutions":[{"id":"https://openalex.org/I119474363","display_name":"Canterbury Christ Church University","ror":"https://ror.org/0489ggv38","country_code":"GB","type":"education","lineage":["https://openalex.org/I119474363"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Man Qi","raw_affiliation_strings":["Department of Computing, Canterbury Christ Church University, Kent, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Canterbury Christ Church University, Kent, UK","institution_ids":["https://openalex.org/I119474363"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.10645405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1692","last_page":"1698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8130785822868347},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7994013428688049},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6879557967185974},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6736733913421631},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.6622915267944336},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6454706788063049},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5589594841003418},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5389986038208008},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.485939621925354},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.45201927423477173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3539544641971588},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.09856975078582764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130785822868347},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7994013428688049},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6879557967185974},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6736733913421631},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.6622915267944336},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6454706788063049},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5589594841003418},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5389986038208008},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.485939621925354},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.45201927423477173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3539544641971588},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.09856975078582764},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1573546770","https://openalex.org/W2092463269","https://openalex.org/W2094830892","https://openalex.org/W2115352131","https://openalex.org/W2125587358","https://openalex.org/W2125767025","https://openalex.org/W2127070222","https://openalex.org/W2134841449","https://openalex.org/W2158604775","https://openalex.org/W2352869445","https://openalex.org/W2354370751","https://openalex.org/W2355836825","https://openalex.org/W2360325260","https://openalex.org/W2371933392","https://openalex.org/W2374473326","https://openalex.org/W2377511571","https://openalex.org/W2382263214","https://openalex.org/W2388872672","https://openalex.org/W2390740464","https://openalex.org/W2992427372","https://openalex.org/W3120048558","https://openalex.org/W6987895259","https://openalex.org/W7065189752"],"related_works":["https://openalex.org/W4200144469","https://openalex.org/W4361804730","https://openalex.org/W2142113611","https://openalex.org/W2334467465","https://openalex.org/W2018387840","https://openalex.org/W2087870008","https://openalex.org/W2162534555","https://openalex.org/W2752178021","https://openalex.org/W2045629210","https://openalex.org/W2143024819"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,96,139,162],"new":[4],"improved":[5,124,180,196],"ViBe":[6,27],"algorithm":[7,22,119,167,178,191],"approach":[8],"to":[9,60,99,130,164,188],"accelerate":[10,100],"the":[11,29,44,47,51,57,62,66,79,87,90,101,104,111,114,127,132,135,174,182,189,195,203,212],"ghost":[12,76,105,115,136,155],"suppression,":[13],"which":[14,82],"is":[15,120,159],"robust":[17],"and":[18,35,109],"efficient":[19],"background":[20,52,63,91],"subtraction":[21,80],"for":[23,205],"video":[24],"sequences.":[25],"The":[26,144,157,169],"has":[28,83,151,179],"advantages":[30],"of":[31,46,50,68,89,103,113,134,141,176,214],"faster":[32],"processing":[33,206],"speed":[34],"lighter":[36],"computation":[37],"load":[38],"compared":[39,121],"with":[40,122,126],"other":[41,123],"algorithms.":[42],"For":[43],"sake":[45],"real-time":[48,215],"performance":[49,88,153],"modeling,":[53],"it":[54,71],"only":[55],"uses":[56],"first":[58],"frame":[59,184,208],"build":[61],"model":[64],"during":[65],"process":[67],"initialization.":[69],"However,":[70],"will":[72],"result":[73],"in":[74,78,154,186,199],"introducing":[75],"area":[77,106],"progression,":[81],"an":[84],"impact":[85],"on":[86],"modeling.":[92],"We":[93],"put":[94],"forward":[95],"novel":[97],"method":[98,150],"elimination":[102],"by":[107,137],"detecting":[108],"reinitializing":[110],"region":[112],"area.":[116],"Our":[117],"enhanced":[118],"algorithms":[125,197],"same":[128],"aim":[129],"suppress":[131],"generation":[133],"conducting":[138],"series":[140],"contrast":[142,187],"experiments.":[143],"comparison":[145],"figures":[146],"show":[147,172],"that":[148,173],"our":[149,166,177],"better":[152],"suppression.":[156],"PCC":[158,175],"used":[160],"as":[161,192,194],"metric":[163],"evaluate":[165],"performance.":[168,216],"experiment":[170],"results":[171],"after":[181],"second":[183],"distinctly":[185],"original":[190],"well":[193],"mentioned":[198],"this":[200],"paper.":[201],"Besides,":[202],"time":[204],"per":[207],"can":[209],"still":[210],"meet":[211],"demand":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}